Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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Vehicle Detection Using Edge Analysis and AdaBoost Algorithm

에지 분석과 에이다부스트 알고리즘을 이용한 차량검출

  • Song, Gwang-Yul (Department of Industrial Engineering, Automobile Research Center, Chonnam National University) ;
  • Lee, Ki-Yong (Department of Industrial Engineering, Automobile Research Center, Chonnam National University) ;
  • Lee, Joon-Woong (Department of Industrial Engineering, Automobile Research Center, Chonnam National University)
  • 송광열 (전남대학교 산업공학과 자동차 연구소) ;
  • 이기용 (전남대학교 산업공학과 자동차 연구소) ;
  • 이준웅 (전남대학교 산업공학과 자동차 연구소)
  • Published : 2009.01.01
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Abstract

This paper proposes an algorithm capable of detecting vehicles in front or in rear using a monocular camera installed in a vehicle. The vehicle detection has been regarded as an important part of intelligent vehicle technologies. The proposed algorithm is mainly composed of two parts: 1)hypothesis generation of vehicles, and 2)hypothesis verification. The hypotheses of vehicles are generated by the analysis of vertical and horizontal edges and the detection of symmetry axis. The hypothesis verification, which determines vehicles among hypotheses, is done by the AdaBoost algorithm. The proposed algorithm is proven to be effective through experiments performed on various images captured on the roads.

Keywords

References

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